• International Commerce and Information Review
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• v.6 no.2
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• pp.361-384
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• 2004

Recently the port logistics service has been recognized as a important function of the international logistics, therefore, a lot of papers have been issued concerning the measurement of the service quality of that. But in spite of variety of papers, we can not find out the papers concerning the model of the synthetic customer satisfaction. And also the most of papers concerning the customer satisfaction of service quality have been focused not by cognitive evaluation of the customer, but by affective response. In this thesis, the authors are postulating the model and hypothesis to achieve the research by using the Gr$\"{o}$nroos's model. In order to research the relationship between the port logistics service quality and the customers satisfaction, we are selecting the shipping companies located in Busan and Kwangyang as purchaser and the loading and unloading companies as supplier, and the questionnaires was performed to them. In the result of the empirical study, the technical quality of the port logistics service are affecting directly on the customer satisfaction, but the functional quality are affecting not directly on the customer satisfaction. And also the customer response(affective response) has been proved that it has been exercised as a intermediate role between the port logistics service quality and the customer satisfaction. Therefore it is proved that the affective response of the customer has been exercised a crucial role in the course of supplying the port logistics service.

• Korean journal of food and cookery science
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• v.26 no.2
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• pp.129-137
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• 2010

The purposes of this study were to understand the influence of perceived service quality in upscale Korean restaurants on a customer's feeling response and revisit intent, and to empirically analyze whether a customer's feeling response plays a mediating role between the service quality and revisit intent. Based on a total 303 samples obtained from the empirical research, this study reviewed the reliability and fitness of the research model and verified a total of 2 hypotheses using the Amos program. The hypothesized relationships in the model were tested simultaneously by using a structural equation model(SEM). The proposed model provided an adequate fit to the data, ${\chi^2}_{(df=263)}=557.397$, CMIN/df 2.119, RMR .09, GFI .88, AGFI .86, NFI .94, CFI .97, RMSEA .06. The major results of this study can be outlined as follows: Price & value($\beta=.40$), food quality($\beta=.26$) and atmosphere($\beta=.15$) had a significant positive effect on the customer's feeling response, and the customer's feeling response($\beta=.65$) had a significant positive effect on revisit intent. In addition, the effect of the perceived service quality in upscale Korean restaurants on revisit intent was found to be partially mediated by the customer's feeling response. Limitations and future research directions are also discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.1
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• pp.57-65
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• 2012

The relationship between product quality/function and customer satisfaction has been considered an important point for the new product development. The seminal paper by Kano was the first to thoroughly address the non-linear relationship between product performance/function and customer satisfaction. In the analysis framework of the original Kano model, five factors are assumed, among which indifference factor occupies 40% in the classification scheme. When we analyze survey response using Kano model, many quality attributes can be resulted in indifference factor. This implies that some attributes which are meaningful tend to be classified as indifferent attributes for the customer satisfaction. In order to tackle this problem, a modified Kano model is proposed by reducing the indifference factor. The modified Kano model can be robust for the survey response. A survey is performed for the quality attributes of the smart phone. The response is analyzed and compared based on the original and modified Kano model. The surveyed quality characteristics of the smart phone are performance related attributes, application programs, functional attributes and subjective emotional quality attributes. Many quality attributes classified as indifference factor in the original model are classified as attractive, must-be, and expected factors, respectively.

• Journal of Internet Computing and Services
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• v.9 no.3
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• pp.103-117
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• 2008

General customer uses internet, SMS(Short Message Service), ATM(Automated Teller Machine), DM(Direct Mail), and telephony services, etc, for service of big businesses and small and medium enterprises, securities, financial institutions, bank. In particular, the case of Fire insurance & Securities, financial institutions, banks must meet Real-Time constrain control through QoS(Quality of Service) ensure. In this paper, we design and implement a system model about Fault-Tolerance IVR(Interactive Voice Response) of Multi Channel Service based on CRM(Customer Relationship Management) environment for the first inbound position of customer. The proposed model can be widely used in Large-scale Customer Response service.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.26-33
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• 2006

The potential needs as well as visible needs of customer should be considered in order to research and analyze of the customer data. The methods to analyze customer data is classified into customer segmentation, clustering analysis model, forecasting customer response probability model, analysis of the customer break rate model and new customer analysis model by the purpose. In this study, we developed the CW-CLV (Correlation Weight Customer Lifetime Value)method that used AHP(Analytic Hierarchy Process)rule for enhance the reliability of customer data and quantitative analysis of the customer segmentation, based on CLV(Customer Lifetime Value). We suggest to new variables and methodology from determined CW-CLV coefficients, because all of companies respect to the diversified customers classification and complexity of consumers needs. Finally, we unfolded any company's scheduling added new methodology using simulation and leaded conclusion about the new methodology.

• Culinary science and hospitality research
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• v.17 no.5
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• pp.167-183
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• 2011

The purpose of this study is to identify the associations among the customer-appraised physical attractiveness of employees, emotional response and customer satisfaction, which has not been fully explored in the foodservice literature. Based on total 249 samples obtained from the empirical research, this study reviewed reliability and fitness of the research model and verified total 3 hypotheses using Amos program. As a result, the physical attractiveness of employees had a significant effect on emotional response of customers and satisfaction. In particular, in casual dining restaurants, the physical attractiveness of employees had a significant positive effect on emotional response (${\alpha}_{11}$=.624)and customer satisfaction(${\alpha}_{21}$ = .495). Also, customer's emotional response had a significant positive effect on customer satisfaction (${\beta}_{21}$ = .312). In addition, the effect of customer-appraised physical attractiveness of employees in casual dining restaurants on customer satisfaction was found to be partially mediated by the customers' emotional response. Limitations and future research directions were also discussed.

• Journal of the Korean Society of Food Culture
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• v.25 no.4
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• pp.456-465
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• 2010

The purpose of this study was to understand the interrelationships between customers' perception of service encounter elements, customers' emotional response and customer satisfaction in a family restaurant. Based on a total of 408 samples, this study reviewed the reliability and fitness of the research model and verified a total of 4 hypotheses using the Amos program. The hypothesized relationships of the model were tested simultaneously using a structural equation model (SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=821.151 (df=333), CMIN/df 2.466, GFI .878, NFI .927, IFI .955, TLI .949, CFI .955, RMSEA .060. The results showed that human factor ($\beta$=.426) and physical factor ($\beta$=.266) as service encounter elements in family restaurants were indicated to have a positive (+) influence on customers' positive emotion. For influence of customers' negative emotion, human factor ($\beta$=-.157) was surveyed to have a negative (-) influence. Also, customers' positive emotion ($\beta$=.716) and negative emotion ($\beta$=-.081) had significant effects on customer satisfaction. Limitations and future research directions are also discussed.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.80-108
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• 2016

Contemporary organizations strive for customer agility through the deployment of digital technologies on customer-focused operations to build enduring customer relationships, with mobile apps being one of its prominent examples. Drawing on prior agility and ECT literature, this study proposes a model to examine customers' view of a firm's customer agility. Our empirical test of conceptual model from data collected in a field study from 128 customers demonstrated that the conceptual model offers good explanation for customers' view of a firm's customer agility through relationships among customer expectations-customer perceived firm's responsiveness-satisfaction. Data were analyzed using PLS, polynomial modeling, and response surface methodology to examine the relationships between customers' digital interactions with the firm, influence of digitized interactions on customer expectations, customers' evaluation of firm's responsiveness, and subsequent customer satisfaction.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1128-1134
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• 2016

Demand response provides customer load reductions based on high market prices or system reliability conditions. One type of demand response, price-based program, induces customers to respond to changes in product rates. However, there are large-scale general and industrial customers that have difficulty changing their energy consumption patterns, even with rate changes, due to their electricity demands being commercial and industrial. This study proposes an in-house pricing model for large-scale general and industrial customers, particularly those with multiple business facilities, for self-regulating demand-side management and cost reduction. The in-house pricing model charges higher rates to customers with lower load factors by employing peak to off-peak ratios in order to reduce maximum demand at each facility. The proposed scheme has been applied to real world and its benefits are demonstrated through an example.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.229-242
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• 2022

Creating a new retailing environment to meet the seamless experience requirements of consumers is a challenge for Omnichannel-related businesses. Based on the "appraisal-emotion-response" chain, the purpose of this research is to explore the psychological mechanism of omnichannel integration influencing customer retention and the moderating effect of customer showrooming experience. This research uses a structural equation model in partial least square software to analyze a two-stage survey (Study 1: n = 210; Study 2: n = 342) conducted in China. The results show that channel control experience has three dimensions: perceived channel attribute familiarity, channel type matching, and cross-channel access convenience; consistent interactive experience has two dimensions: information cross-channel consistency and cross-channel service support. Furthermore, both channel control experience and consistent interactive experience are favorable for customer retention through increased customer satisfaction (transactional and retailer satisfaction). Finally, customer showrooming experience positively moderates the relationship between consistent interactive experience and customer satisfaction. This research proposes a self-regulation process model to explain how omnichannel integration enhances consumers' experience, finally leading to consumer retention. The findings contribute to the omnichannel retail business literature and provide management implications for Asian retailers to implement an omnichannel business strategy.